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cs.LG2025
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Yipu Zhang, Chengshuo Zhang, Ziyu Zhou +5
Data privacy constraints pose significant challenges for large-scale neuroimaging analysis, especially in multi-site functional magnetic resonance imaging (fMRI) studies, where sit…
cs.LG2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Yipu Zhang, Likai Wang, Kuan-Jui Su +7
Resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectivity networks (FCNs) have become critical for understanding neurological disorders.…
cs.LG2023
Consistency of Lloyd's Algorithm Under Perturbations
Dhruv Patel, Hui Shen, Shankar Bhamidi +2
In the context of unsupervised learning, Lloyd's algorithm is one of the most widely used clustering algorithms. It has inspired a plethora of work investigating the correctness of…